kpi-definition jobs in San Diego

As an MDM Solutions Engineer, you will serve as a product and delivery lead for Reltio and/or Informatica MDM platforms in Life Sciences, designing and maintaining master data models for HCP/HCO, accounts, affiliations, and product hierarchies. You will configure identity resolution, survivorship, and stewardship workflows; establish data quality rules and monitoring; and partner with cross-functional stakeholders to drive adoption and governance operations.…See more The role requires 5+ years of data management/MDM experience with 2+ years of hands-on Reltio or Informatica MDM implementation, plus deep knowledge of Life Sciences commercial domains and data governance frameworks.

Sr. Technical Program Manager responsible for owning end-to-end delivery of account integrity programs spanning multiple engineering and ML teams, from scoping through launch and operational readiness.…See more The role requires managing cross-functional dependencies, driving engineering prioritization, defining success metrics, and writing strategy documents for leadership. Requires 5+ years of technical product/program management, 7+ years working directly with engineering teams, and 3+ years of software development experience.

The Enterprise AI FinOps Lead establishes financial governance for company-wide AI usage across multi-cloud (Azure, AWS, GCP), SaaS, and on-premise environments. The role owns cost visibility, show-back, optimization, budgeting, forecasting, and stakeholder engagement, with deep responsibility for AI-specific cost drivers such as tokens, models, prompts, embeddings, and RAG systems.…See more The leader translates telemetry into actionable insights, optimization programs, and executive reporting while managing the full departmental budget. This is a hands-on operator role requiring 8+ years in FinOps, cloud cost management, or enterprise finance, with strong analytical, stakeholder management, and executive communication skills.

Lead the modernization of a supplier management platform by defining product vision, managing the product backlog, and coordinating cross-functional teams across procurement, supply chain, and IT. Own the end-to-end delivery of supplier lifecycle management capabilities including qualification, compliance, risk management, and governance.…See more Drive alignment between business and technical stakeholders, define success metrics and KPIs, and ensure the solution meets enterprise architecture and compliance standards. Requires 7–10 years of experience with at least 3+ years as a Product Owner or equivalent and 5+ years in supply chain or procurement IT solutions.

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.…See more The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.